Company related event extraction for risk assessment

  • Region


  • Industry


  • Type

    Web Application

  • Duration

    3 Years


An EU-based client-targeted the development of knowledge-discovery software for real-time processing of

  • English
  • French
  • Spanish

The news streams and, therefore, engaged the Envion Software NLP team to implement a relation extraction solution for the three languages in question.


The purpose of the solution was to extract mentions of certain companies in the context of events denoting potential risks of the companies:

  • operational
  • social
  • fraudulent

Envion Software’s NLP team met the client’s requirements by developing a rule-based application using the GATE NLP framework and the Java Annotation Patterns Engine.

In order to get the highest accuracy of the company-event relation extraction, the relations were established based on knowledge of the syntactic structure of the text.

For this reason, SyntaxNet – an open-source deep-learning language model – was utilized within the application.

Technical details

  • Gate
  • JAPE
  • Treetagger
  • Java 8
  • Hunspeller
  • SyntaxNet


As a result, the client’s system achieved a significant increase in information extraction accuracy, as well as an easily-extendable relation extraction module.

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